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Data Scientist
Office, Digital & Business Skills · Introductory · Self-paced
An introduction to data science — combining statistics, programming and machine learning to find patterns, build models and make predictions from data.
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What you'll learn Understand the scope and key ideas of data science Recognise the main concepts, terms and methods Engage with curated lectures, notes and videos Apply your learning through short assignments Be ready to study the field in greater depth Course modules Module 1: What is Data Science? Module 2: The Data Science Process Module 3: Programming for Data Module 4: Statistics & Probability Module 5: Data Wrangling Module 6: Machine Learning Basics Module 7: Common Algorithms Module 8: Evaluating Models Module 9: Visualisation & Communication Module 10: Tools & Careers Module 11: Core Concepts in Depth Module 12: Common Mistakes & How to Avoid Them Module 13: Tools, Resources & Templates Module 14: Standards, Quality & Best Practice Module 15: Health, Safety & Ethics Module 16: Case Study: A South African Example Module 17: Communication & Working with Others Module 18: Staying Current & Continuing to Learn Module 19: Capstone Project Module 20: Review, Assessment & Next Steps Unlock this course for R19 on any phone. A certificate is optional (from R39).
Bluezone Institute — low-cost e-learning for South Africa. Courses unlock for R19; certificates are optional and separate. Certificates are not accredited or NQF/SAQA-registered.